// Copyright (c) 2022 Huawei Technologies Co., Ltd
// All rights reserved.
//
// Licensed under the BSD 3-Clause License  (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

#include "torch_npu/csrc/framework/utils/OpAdapter.h"
#include "torch_npu/csrc/aten/NPUNativeFunctions.h"

namespace at_npu {
namespace native {

std::tuple<at::Tensor, at::Tensor> NPUNativeFunctions::_aminmax(const at::Tensor& self) {
  auto min = NPUNativeFunctions::min(self);
  auto max = NPUNativeFunctions::max(self);

  return std::tie(min, max);
}

std::tuple<at::Tensor, at::Tensor> NPUNativeFunctions::_aminmax(
    const at::Tensor& self,
    const int64_t dim,
    const bool keepdim) {
  auto min = NPUNativeFunctions::min(self, {dim}, keepdim);
  auto max = NPUNativeFunctions::max(self, {dim}, keepdim);

  return std::tie(std::get<0>(min), std::get<0>(max));
}

} // namespace native
} // namespace at_npu
